How CDP Data Helps Northern Ontario Organizations
Discover how CDP data is utilized by members of the Northern Ontario Data Consortium, including workforce planning boards, economic development organizations, and public health units. Explore how these organizations learn about and communicate community facts through CDP data, as well as their interest in target group profiles and conducting custom calculations.
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Presentation Transcript
HOW CDP MEMBERS IN NORTHERN ONTARIO USE CDP DATA WILLIAM DUNSTAN, NORTHERN POLICY INSTITUTE
Northern Ontario Data Consortium The Northern Ontario Data Consortium (NODC) has 18 member organizations Members include workforce planning boards, economic development organizations, public health units, small municipalities, immigration coordinators, community non-profits, etc. Most member organizations do not have staff who would be considered data experts . Nevertheless, these organizations get value out of CDP data. Our members use CDP data to do two things: Learn new things about their community Communicate facts about their community
Target Group Profiles Comparison of Francophone population and total population, Timmins, 2021 The most popular products among our members are the TGPs Essentially, a census profile for a specific group TGPs available for Francophone, Indigenous identity, immigrants, people with activity limitations, etc. Total population Francophones Children (% of population) 26.6% 23% Average age 41.1 44.5 Unemployment rate 8.6% 7.9% Median annual after-tax household income $39,200 $38,800
Target Group Profiles Many of our members are interested in data on non-permanent residents (temporary foreign workers, international students) Per cent of workers employed in select industries, Northern Ontario, 2021 Industry Non-permanent residents Total population 0.7% 2.1% Agriculture, forestry, fishing and hunting 1.7% 5.7% Mining, quarrying, and oil and gas extraction 4.7% 4.4% Professional, scientific and technical services 24.4% 12.4% Retail trade 26.1% 5.8% Accommodation and food services
Going a Step Further: Members Doing Calculations With CDP Data Some members don t just pull stats from CDP; they do their own calculations using this data Example: using data on employment by occupation for various age groups to identify occupation groups at risk of large- scale retirements Replacement demand calculation, Kapuskasing 25-64 in 2021 working age Working age in 2031 % needing to be replaced 15-24 in 2021 55-64 in 2021 Carpenters 35 0 10 25 29% Social and community service workers 55 0 15 40 27% CDP is the most affordable way for members to get detailed occupation data by age for a small community like Kapuskasing (pop. ~ 7,000) Welders and related machine operators Construction millwrights and industrial mechanics 10 0 0 10 0 50 20 10 60 - 20% Early childhood educators and assistants 25 15 0 40 - 60%
THANK YOU. MARSEE. MERCI. MIIGWECH. 1 (807) 343-8956 | info@northernpolicy.ca www.northernpolicy.ca /NorthernPolicy
